TY  - CONF
ID  - publications28867
UR  - https://publications.ut-capitole.fr/id/eprint/28867/
A1  - Cussat-Blanc, Sylvain
A1  - Disset, Jean
A1  - Sanchez, Stéphane
Y1  - 2016///
N2  - In this paper, we show how a dangerousness metric can be used to modify the input of a gene regulatory network when plugged to a virtual car. In the context of the 2015 Simulated Car Racing Championship organized during GECCO 2015, we have developed a new cartography methodology able to inform the controller of the car about the incoming complexity of the track: turns (slipperiness, angle, etc.) and bumps. We show how this dangerousness metric improves the results of our controller and outperforms other approaches on the tracks used in the competition.
PB  - Springer
KW  - Gene regulatory network - Virtual car racing - Dangerousness measure
TI  - Dangerousness Metric for Gene Regulated Car Driving
SP  - 620
M2  - Porto, Portugal
AV  - public
EP  - 635
T2  - 19th European Conference on the Applications of Evolutionary Computation (EvoApplications 2016), part of EvoStar 2016
ER  -